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Parametrize ML Pipelines deployment #655
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Merged
Parametrize ML Pipelines deployment #655
openshift-merge-robot
merged 1 commit into
opendatahub-io:master
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rimolive:rmartine
Aug 26, 2022
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/retest |
LaVLaS
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Aug 19, 2022
/hold Putting this on hold until we can resolve the CI test failures for ml-pipelines on OCP 4.10 that are described in https://github.com/opendatahub-io/odh-manifests/issues/653#issuecomment-1221216051 |
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/lgtm
anishasthana
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Aug 26, 2022
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: anishasthana The full list of commands accepted by this bot can be found here. The pull request process is described here
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Provide a way to parametrize ML Pipelines deployment
Description
This PR adds parametrization on configmaps and secrets required to deploy ML Pipelines.
Why this change is required?
Because ML Pipelines manifests brings default integrations with underlying components (database, object store), we need to at least give users a way to setup things like database credentials and others to avoid using the default values used in the manifests.
How Has This Been Tested?
Using the manifests as is, it will deploy ML Pipelines the same as before, but now it is possible to override the database secrets, as an example.
Merge criteria:
Default deployment must work as is.